Searching for Sustainable Refrigerants by Bridging Molecular Modeling with Machine Learning

[Image: see text] We present here a novel integrated approach employing machine learning algorithms for predicting thermophysical properties of fluids. The approach allows obtaining molecular parameters to be used in the polar soft-statistical associating fluid theory (SAFT) equation of state using...

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Detalles Bibliográficos
Autores principales: Alkhatib, Ismail I. I., Albà, Carlos G., Darwish, Ahmad S., Llovell, Fèlix, Vega, Lourdes F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165071/
https://www.ncbi.nlm.nih.gov/pubmed/35673400
http://dx.doi.org/10.1021/acs.iecr.2c00719

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165071/
https://www.ncbi.nlm.nih.gov/pubmed/35673400
http://dx.doi.org/10.1021/acs.iecr.2c00719

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